Data Scientist

TL;DR

Data Scientist (ML): Developing and delivering data science solutions using machine learning to inform business decisions across HR, Finance, and Asset Management with an accent on model building, data analysis, and stakeholder collaboration. Focus on building, testing, and refining ML models for real-world use cases, productionising solutions, and communicating insights effectively.

Hybrid in Cardiff, UK

Company

Leading UK financial services group and major global investor providing retirement and protection solutions.

What you will do

• Develop and deliver data science solutions that support business decisions and create value
• Work with diverse data sources to explore, join, and analyse data at scale
• Build, test, and refine machine learning models for real-world use cases
• Communicate insights clearly to technical and non-technical stakeholders
• Visualise analytical outputs and model results to a high standard
• Collaborate with data and technology colleagues to productionise and automate solutions

Requirements

• Experience working with large or complex datasets and strong attention to detail
• Knowledge of a range of machine learning techniques and analytical approaches
• Experience using programming languages such as Python, R or SQL for data analysis and modelling
• Ability to manipulate data, engineer features, and prepare datasets for modelling
• Experience gathering requirements and working collaboratively with stakeholders
• Confidence explaining technical concepts in a clear and accessible way

Nice to have

• Knowledge of Generative AI concepts and agent-based systems e.g. LLMs, tool-using agents, or autonomous workflows
• Experience experimenting with low-code or pro-code AI agent frameworks such as Copilot Studio, LangChain, or similar

Culture & Benefits

• Annual performance-related bonus plan and valuable share schemes
• Generous pension contribution, life assurance, and healthcare plan
• At least 25 days holiday plus public holidays, option to buy/sell holiday
• Competitive family leave and electric car scheme via salary sacrifice
• Discounts on products and high street stores
• Flexible working options including part-time and job shares where possible